| Bayesian economics through numerical methods : a guide to econometrics and decision-making with priorinformation
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| Author | | Dorfman, Jeffrey H |
| ISBN/ISSN | | 0387226354 |
| Broad Subject | |
Economics & finance
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| Subject | |
Econometrics
Bayesian statistical decision theory
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| Summary | | "The aim of this book is to provide researchers in economics, finance,and statistics with an up-to-date introduction to the application of Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques that have been developed over the last thirty years, notably: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling." "The result is a book that presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing research topic."--BOOK JACKET. |
| Publisher | | Springer |
| Language | | English |
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| Warning: Use of the files is restricted to purposes of research and education only. Other uses and excessive downloading are strictly prohibited. Violators will lose library privileges, face disciplinary actions and may be prosecuted.
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| Available at : |
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netLibary
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| Authorized remote access from | |
HKUVPN, EZproxy, Circle of Friends, HKU SPACE
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| Format | | PDA E-books
E-Books |
| Location | | Web Mounted |
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ebrary
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| Authorized remote access from | |
HKUVPN, EZproxy, Circle of Friends, HKU SPACE
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| Format | | E-Books |
| Location | | Web Mounted |
| No. of users | |
varies
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